At a Glance
- Tasks: Build and maintain robust data systems while collaborating on exciting machine learning projects.
- Company: Join Barclaycard UK, a leader in innovative financial solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with great career advancement potential.
- Why this job: Make an impact in AI governance and work with cutting-edge technologies.
- Qualifications: Expertise in Python, cloud architecture (AWS/Azure), and CI/CD pipelines required.
The predicted salary is between 60000 - 80000 £ per year.
Barclaycard UK is seeking a Data Engineer to build and maintain robust data systems. The successful candidate will be responsible for developing data architectures and collaborating with data scientists on machine learning initiatives.
This role is based in London, with a hybrid working model requiring onsite presence three days a week.
Applicants should have expertise in:
- Python
- Cloud architecture (AWS/Azure)
- CI/CD pipelines
AI Governance Engineer — Data Pipelines & ML Collaboration employer: 8120 Barclaycard UK
At Barclaycard UK, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our London-based team enjoys a hybrid working model, offering flexibility while ensuring meaningful engagement with colleagues. We are committed to employee growth, providing ample opportunities for professional development in cutting-edge technologies like AI and cloud architecture, making us an attractive choice for those seeking a rewarding career in data engineering.
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We think this is how you could land AI Governance Engineer — Data Pipelines & ML Collaboration
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We think you need these skills to ace AI Governance Engineer — Data Pipelines & ML Collaboration
Some tips for your application 🫡
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